Generative Engine Optimization, usually shortened to GEO, is the practice of making content easy for AI systems to understand, summarize accurately, and reference when they answer a question. It does not replace search engine optimization. It adds a second question to every page review: if an assistant had to explain this topic using our page, could it?
A working definition
When someone asks ChatGPT, Gemini, Perplexity, Claude, or an AI search feature a question, the system produces a written answer. Some answers name businesses or link to sources. Others do not. GEO is the work of improving the parts of that outcome you can influence: the clarity, structure, accuracy, and evidence in your own content.
A useful way to think about it is that search ranking decides whether a page is shown in a list, while generative answers decide whether a page's information is used inside a response. Those are related but different jobs. A page can be easy to find and still be hard to quote.
GEO cannot force any AI provider to mention or cite a business. Providers decide how their systems retrieve and present information, and their behavior changes over time. The goal is readiness and evidence, not guaranteed placement.
Why it matters for business teams
Buyers increasingly ask assistants the same questions they used to type into a search box: which provider fits a small team, what a service usually includes, how two options compare. When an answer is written for them, the businesses described in that answer shape the shortlist.
For a marketing or sales team, that creates three practical questions:
- Do the AI tools our buyers use mention us when they answer relevant questions?
- When they do, is the description accurate and current?
- If they do not, is our content giving them clear, specific material to work with?
The first two are observation problems. You answer them by testing real questions and saving the responses. The third is a content problem, and that is where most GEO work happens.
What changes in how you write
Good GEO writing looks a lot like good writing for busy people. The difference is that you assume the reader may be a system that extracts a few sentences rather than a person who reads the whole page.
- Put the direct answer near the top of the section that asks the question.
- Name things explicitly. Use your business name, product name, location, and category instead of relying on "we" and "it".
- Use headings that match the questions people ask, so each section can stand on its own.
- Replace general claims with specific, checkable details such as what is included, who it is for, and what it costs where you can publish that.
- Show who wrote or reviewed the content and when it was last updated.
Before
We help companies grow with smarter solutions tailored to their needs.
After
Harbor Lane Bookkeeping provides monthly bookkeeping and payroll for restaurants in Portland, Oregon. Plans include bank reconciliation, sales tax filing, and a monthly report reviewed with the owner.
The second version gives an assistant an entity, a service, an audience, a location, and concrete inclusions. It is also simply more useful to a human reader. The business in this example is invented for illustration.
How GEO relates to SEO
GEO builds on SEO rather than competing with it. Google's guidance on AI features says the same foundational practices apply: pages need to be indexed and eligible to appear with a snippet, and there is no special markup that guarantees inclusion in AI Overviews or AI Mode. Crawlability, helpful content, and clear page structure remain the base layer.
What GEO adds is a sharper focus on the answer itself. SEO reviews often ask whether a page targets the right query. GEO reviews also ask whether the page states the answer plainly, defines its entities, supports its claims, and could be summarized without distortion.
How to get started
- List ten to twenty questions real buyers ask before choosing a provider like you. Pull them from sales calls, support tickets, and search console queries rather than inventing them.
- Test those questions in the assistants your buyers use. Save the full response, the date, the provider, and the model where available.
- Pick the pages that should answer those questions and review them for direct answers, clear entities, and specific evidence.
- Make one meaningful improvement at a time and record what you changed.
- Repeat the same questions later under comparable conditions and compare the saved responses, including the ones that did not change.
This loop keeps the work grounded in evidence. A readiness score tells you how a page measures against a content rubric. A saved response tells you what one model said on one day. Neither proves revenue impact on its own, so track leads and sales separately in your analytics and CRM.